Research in task-oriented dialogue often struggles with a lack of standard, publicly available datasets. Several classical corpora have consisted of moderately-sized collections of dialogues related to travel-booking  [1]}, [2]}. Another well-known corpus is derived from a series of competitions on the task of dialogue-state tracking  [3]}. While the competitions were designed to test systems for state tracking, recent work has chosen to repurpose this data by only using the transcripts of dialogues without state annotation for developing systems  [4]}, [5]}. More recently, Maluuba has released a dataset of hotel and travel-booking dialogues collected in a Wizard-of-Oz Scheme with elaborate semantic frames annotated [6]}. This dataset aims to encourage research in non-linear decision-making processes that are present in task-oriented dialogues.
